The Smart Aisle: How Your Grocery Store Knows What You Want to Buy

NEW YORK, NY – July 29, 2026 – The digital screens at the checkout line of your local grocery store are about to get a lot smarter. In a move that signals a profound shift in physical retail, in-store media platform Grocery TV has partnered with Esri, the global leader in location intelligence, to bring a new level of data-driven advertising to the American supermarket.

This partnership embeds Esri’s vast Market Potential dataset into Grocery TV’s network, which spans over 6,700 stores and reaches 95 million shoppers weekly. For advertisers, this means the ability to target consumers based on more than 3,500 behavioral and psychographic attributes. The era of generic, location-based ads is giving way to a new reality where the promotions you see while waiting to pay could be influenced by whether your neighborhood has a high concentration of people planning to buy a car, prioritizing organic food, or considering a new wireless carrier.

The New Frontier of In-Store Advertising

For years, the promise of retail media has been its ability to reach consumers at the most critical moment: the point of decision. With the vast majority of purchases still happening in physical stores, this final step in the customer journey is marketing’s holy grail. Yet, in-store advertising has often lagged behind its digital counterparts, relying on broad demographic and geographic data that feels more like a scattergun than a scalpel.

The collaboration between Grocery TV and Esri aims to change that. By integrating psychographic data—which measures consumer attitudes, values, and lifestyles—advertisers can now move beyond who shoppers are and begin targeting them based on why they buy. Instead of simply knowing a store is in an affluent suburb, a brand can now identify if the shoppers in that specific store over-index on behaviors like seeking out sustainable products, being early adopters of technology, or having young children at home.

"In-store media is increasingly being viewed as an extension of video and digital strategies, not just an out-of-home buy," said Marlow Nickell, co-founder and CEO of Grocery TV. "The partnership with Esri enhances our ability to let media buyers approach in-store by audience, not just by placement. Most purchases still happen in physical stores, and reaching the right shopper at the point of decision is one of the most valuable moments in the funnel."

This granularity allows for campaigns that were previously unthinkable in a physical space. An automotive brand can now focus its ad spend on stores frequented by consumers actively in the market for a new vehicle. A financial institution can target its messaging toward neighborhoods with a high propensity for investment, and a CPG brand launching a new plant-based product line can ensure its ads are running in stores where health and wellness are a top priority for shoppers.

Bridging the Gap Between Digital and Physical Retail

This development arrives as the retail media industry is experiencing explosive growth. The increasing sophistication of data and measurement has become a key battleground, with major retailers like Walmart and Kroger investing heavily in their own media networks that leverage first-party shopper data. The Grocery TV-Esri partnership represents a significant move to equip independent and regional grocers with the same level of data firepower.

It also addresses a major friction point for national advertisers. Brands and their agencies are accustomed to planning digital and television campaigns around highly specific audience segments. The inability to apply this same methodology to in-store media has often relegated it to a secondary or experimental part of the budget. By aligning the planning process, this partnership makes it easier for brands to integrate in-store advertising into a holistic, performance-driven media strategy.

This maturation of the channel is reflected in market forecasts. eMarketer recently raised its 2026 projection for Digital Out-of-Home (DOOH) advertising by 18%, citing the rapid growth of in-store media. As the channel scales, capabilities like audience segmentation and closed-loop attribution are becoming table stakes.

"Esri has long helped organizations understand consumer behavior at the local level," said Chris Nickola, director of commercial at Esri. "Partnering with Grocery TV brings that intelligence directly into the in-store media planning process, connecting behavioral and psychographic insights to the physical environments where most shoppers visit every week. It's a natural extension of how location intelligence can inform smarter, more relevant advertising."

The Engine Behind the Intelligence

To understand the power of this partnership, one must look at the engine driving it: Esri’s Market Potential dataset. This is not simply raw data, but a sophisticated model built from multiple high-quality sources. At its core are two key components: Esri's own Tapestry™ Segmentation system and consumer survey data from MRI-Simmons.

Tapestry Segmentation classifies every U.S. neighborhood into one of 67 distinct segments based on a rich blend of demographic, socioeconomic, and behavioral characteristics. These segments have evocative names like "Boomburbs," "Metro Renters," or "Heartland Communities," each representing a unique lifestyle and consumption pattern. This provides a detailed, block-by-block understanding of the population surrounding each grocery store.

This geographic framework is then fused with MRI-Simmons’ “Survey of the American Consumer,” an extensive, continuously updated poll that captures consumer habits and attitudes across thousands of products, services, and media preferences. By combining these sources, Esri can generate a Market Potential Index (MPI) for a given area, which compares local demand for a specific product or behavior to the national average. An MPI of 120, for example, means the local area has a 20% higher demand for that item than the U.S. average.

This is the intelligence that Grocery TV’s advertisers can now tap into. It allows them to build custom lists of stores where the surrounding neighborhoods show a high MPI for their target audience, ensuring their message is delivered with maximum relevance and minimal waste.

Navigating Relevance and Privacy

The prospect of such granular targeting in a physical space inevitably raises questions about consumer privacy. The term "psychographics" can evoke concerns of being tracked or profiled. However, the methodology employed here relies on aggregation and anonymization. The system targets stores based on the collective characteristics of the surrounding neighborhoods, not on the personal data of any individual shopper in the checkout line.

The data from Esri is based on census blocks and survey panels, not on tracking individual movements or purchase histories. The result is that the ads are tailored to the statistical probability of a certain type of consumer being in a particular store at a particular time. For the consumer, the experience is one of seeing more relevant advertising—a promotion for a new hybrid SUV in a neighborhood of environmentally conscious families, for instance—rather than being personally identified.

This represents a critical balance. For advertisers, relevance is the key to breaking through the noise and delivering value. For consumers, irrelevant ads are a nuisance, while overly personal ones can feel intrusive. By focusing on aggregated, location-based insights, the partnership aims to enhance the relevance of the shopping experience without crossing the privacy line. It’s a strategy that acknowledges the modern consumer’s expectation for personalization while operating within the ethical boundaries of data usage, transforming the grocery aisle into a smarter, more responsive environment.